Evoluationary Design of a Fuzzy Logic Controller For Multi-Agent Robotic Systems

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It is an interesting area in the field of artifical intelligence to find an analytic model of cooperative structure for multiagent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent agents solving a pursuit problem in a continuous world. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to find the fuzzy logic controller seems to be promising.
Publisher
제어·로봇·시스템학회/대한전기학회
Issue Date
1999
Language
Korean
Citation

INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION, AND SYSTEMS

ISSN
1598-6446
URI
http://hdl.handle.net/10203/8159
Appears in Collection
EE-Journal Papers(저널논문)
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